---
language:
- en
license:
- cc-by-4.0
source_datasets:
- spider
pretty_name: Spider Context Validation
tags:
- text-to-sql
- SQL
- spider
- validation
- eval
- spider-eval
dataset_info:
  features:
    - name: db_id
      dtype: string
    - name: question
      dtype: string
    - name: db_info
      dtype: string
    - name: ground_truth
      dtype: string
---

# Dataset Card for Spider Context Validation

### Dataset Summary

Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students
The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases.

This dataset was created to validate spider-fine-tuned LLMs with database context.

### Yale Lily Spider Leaderboards

The leaderboard can be seen at https://yale-lily.github.io/spider

### Languages

The text in the dataset is in English.

### Licensing Information

The spider dataset is licensed under 
the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode)

### Citation
```
@article{yu2018spider,
  title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task},
  author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others},
  journal={arXiv preprint arXiv:1809.08887},
  year={2018}
}
```